{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantifying Chaos for a Dynamical System\n",
    "\n",
    "Topics:\n",
    "* Introduction to Lyapunov exponents\n",
    "* Maximum Lyapunov Exponent\n",
    "* Lyapunov Spectrum\n",
    "\n",
    "**WARNING** - Compilation of functions in this tutorial takes *a lot of time*.\n",
    "\n",
    "---\n",
    "\n",
    "In the previous tutorial we saw that for example the Shinriki oscillator showed something that \"could be chaotic behavior\" for a specific parameter value. How can we quantify that?\n",
    "\n",
    "# Lyapunov exponents\n",
    "* Lyapunov exponents measure the exponential separation rate of trajectories that are (initially) close. \n",
    "    * Consider the following picture, where two nearby trajectories are evolved in time:\n",
    " \n",
    "\n",
    "\n",
    "<img src=\"lyapunov.png\" alt=\"Sketch of the Lyapunov exponent\" style=\"width: 500px;\"/>\n",
    "\n",
    "\n",
    "* $\\lambda$ denotes the \"maximum Lyapunov exponent\".\n",
    "* A $D$-dimensional system has $D$ exponents.\n",
    "* In general, a trajectory is called \"chaotic\" if\n",
    "    1. it follows nonlinear dynamics\n",
    "    2. it is *bounded* (does not escape to infinity)\n",
    "    2. it has a positive Lyapunov exponent\n",
    "\n",
    "*(please be aware that the above is an over-simplification! See the textbooks cited in our documentation for more)*\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "using DynamicalSystems, BenchmarkTools, PyPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before computing Lyapunov exponents, we'll demonstrate the concept of exponential separation using a simple map: the *towel map*\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "x_{n+1} &= a x_n (1-x_n) -0.05 (y_n +0.35) (1-2z_n) \\\\\n",
    "y_{n+1} &= 0.1 \\left( \\left( y_n +0.35 \\right)\\left( 1+2z_n\\right) -1 \\right)\n",
    "\\left( 1 -1.9 x_n \\right) \\\\\n",
    "z_{n+1} &= 3.78 z_n (1-z_n) + b y_n\n",
    "\\end{aligned}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-dimensional discrete dynamical system\n",
       " state:     [0.085, -0.121, 0.075]\n",
       " e.o.m.:    DynamicalSystemsBase.Systems.eom_towel\n",
       " in-place?  false\n",
       " jacobian:  DynamicalSystemsBase.Systems.jacob_towel\n"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "towel = Systems.towel()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we'll generate a trajectory for the towel map, `tr1`, from the default initial condition,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"3-dimensional Dataset{Float64} with 101 points\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tr1 = trajectory(towel, 100)\n",
    "summary(tr1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and then we will generate a second trajectory, `tr2`, with a starting point slightly shifted from the initial condition of `tr1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"3-dimensional Dataset{Float64} with 101 points\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u2 = get_state(towel) + (1e-9 * rand(3))\n",
    "tr2 = trajectory(towel, 100, u2)\n",
    "summary(tr2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 800x500 with 2 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(8,5))\n",
    "\n",
    "# Plot the x-coordinate of the two trajectories:\n",
    "ax1 = subplot(2,1,1)\n",
    "plot(tr1[:, 1], alpha = 0.5)\n",
    "plot(tr2[:, 1], alpha = 0.5)\n",
    "ylabel(\"x\")\n",
    "\n",
    "# Plot their distance in a semilog plot:\n",
    "ax2 = subplot(2,1,2, sharex = ax1)\n",
    "d = [norm(tr1[i] - tr2[i]) for i in 1:length(tr2)]\n",
    "ylabel(\"d\")\n",
    "xlabel(\"n\")\n",
    "semilogy(d);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Maximum Lyapunov Exponent\n",
    "`lyapunov` is a function that calculates the maximum Lyapunov exponent for a `DynamicalSystem` (for a given starting point).\n",
    "\n",
    "Since `lyapunov` is not a trivial function, it is best to read the documentation string first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "search: \u001b[1ml\u001b[22m\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22m \u001b[1ml\u001b[22m\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22ms numerica\u001b[1ml\u001b[22ml\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22m\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "```\n",
       "lyapunov(ds::DynamicalSystem, Τ; kwargs...) -> λ\n",
       "```\n",
       "\n",
       "Calculate the maximum Lyapunov exponent `λ` using a method due to Benettin [1], which simply evolves two neighboring trajectories (one called \"given\" and one called \"test\") while constantly rescaling the test one. `T`  denotes the total time of evolution (should be `Int` for discrete systems).\n",
       "\n",
       "## Keyword Arguments\n",
       "\n",
       "  * `Ttr = 0` : Extra \"transient\" time to evolve the trajectories before starting to measure the expontent. Should be `Int` for discrete systems.\n",
       "  * `d0 = 1e-9` : Initial & rescaling distance between the two neighboring trajectories.\n",
       "  * `upper_threshold = 1e-6` : Upper distance threshold for rescaling.\n",
       "  * `lower_threshold = 1e-12` : Lower distance threshold for rescaling (in order to  be able to detect negative exponents).\n",
       "  * `diff_eq_kwargs = Dict(:abstol=>d0, :reltol=>d0)` : (only for continuous) Keyword arguments passed into the solvers of the `DifferentialEquations` package (see [`trajectory`](@ref) for more info).\n",
       "  * `dt = 1` : Time of evolution between each check of distance exceeding the thresholds. For continuous systems this is approximate.\n",
       "  * `inittest = (u1, d0) -> u1 .+ d0/sqrt(D)` : A function that given `(u1, d0)` initializes the test state with distance `d0` from the given state `u1` (`D` is the dimension of the system). This function can be used when you want to avoid the test state appearing in a region of the phase-space where it would have e.g. different energy or escape to infinity.\n",
       "\n",
       "## Description\n",
       "\n",
       "Two neighboring trajectories with initial distance `d0` are evolved in time. At time $t_i$ their distance $d(t_i)$ either exceeds the `upper_threshold`, or is lower than `lower_threshold`, which initializes a rescaling of the test trajectory back to having distance `d0` from the given one, while the rescaling keeps the difference vector along the maximal expansion/contraction direction: $u_2 \\to u_1+(u_2−u_1)/(d(t_i)/d_0)$.\n",
       "\n",
       "The maximum Lyapunov exponent is the average of the time-local Lyapunov exponents\n",
       "\n",
       "$$\n",
       "\\lambda = \\frac{1}{t_{n}}\\sum_{i=1}^{n}\n",
       "\\ln\\left( a_i \\right),\\quad a_i = \\frac{d(t_{i})}{d_0}.\n",
       "$$\n",
       "\n",
       "## Performance Notes\n",
       "\n",
       "This function uses a `parallel_integrator`. For loops over initial conditions and/or parameter values one should use the lower level methods that accept an integrator, and `reinit!` it to new initial conditions.\n",
       "\n",
       "See the \"advanced documentation\" for info on the integrator object and use `@which ...` to go to the source code for the low-level call signature.\n",
       "\n",
       "## References\n",
       "\n",
       "[1] : G. Benettin *et al.*, Phys. Rev. A **14**, pp 2338 (1976)\n"
      ],
      "text/plain": [
       "```\n",
       "lyapunov(ds::DynamicalSystem, Τ; kwargs...) -> λ\n",
       "```\n",
       "\n",
       "Calculate the maximum Lyapunov exponent `λ` using a method due to Benettin [1], which simply evolves two neighboring trajectories (one called \"given\" and one called \"test\") while constantly rescaling the test one. `T`  denotes the total time of evolution (should be `Int` for discrete systems).\n",
       "\n",
       "## Keyword Arguments\n",
       "\n",
       "  * `Ttr = 0` : Extra \"transient\" time to evolve the trajectories before starting to measure the expontent. Should be `Int` for discrete systems.\n",
       "  * `d0 = 1e-9` : Initial & rescaling distance between the two neighboring trajectories.\n",
       "  * `upper_threshold = 1e-6` : Upper distance threshold for rescaling.\n",
       "  * `lower_threshold = 1e-12` : Lower distance threshold for rescaling (in order to  be able to detect negative exponents).\n",
       "  * `diff_eq_kwargs = Dict(:abstol=>d0, :reltol=>d0)` : (only for continuous) Keyword arguments passed into the solvers of the `DifferentialEquations` package (see [`trajectory`](@ref) for more info).\n",
       "  * `dt = 1` : Time of evolution between each check of distance exceeding the thresholds. For continuous systems this is approximate.\n",
       "  * `inittest = (u1, d0) -> u1 .+ d0/sqrt(D)` : A function that given `(u1, d0)` initializes the test state with distance `d0` from the given state `u1` (`D` is the dimension of the system). This function can be used when you want to avoid the test state appearing in a region of the phase-space where it would have e.g. different energy or escape to infinity.\n",
       "\n",
       "## Description\n",
       "\n",
       "Two neighboring trajectories with initial distance `d0` are evolved in time. At time $t_i$ their distance $d(t_i)$ either exceeds the `upper_threshold`, or is lower than `lower_threshold`, which initializes a rescaling of the test trajectory back to having distance `d0` from the given one, while the rescaling keeps the difference vector along the maximal expansion/contraction direction: $u_2 \\to u_1+(u_2−u_1)/(d(t_i)/d_0)$.\n",
       "\n",
       "The maximum Lyapunov exponent is the average of the time-local Lyapunov exponents\n",
       "\n",
       "$$\n",
       "\\lambda = \\frac{1}{t_{n}}\\sum_{i=1}^{n}\n",
       "\\ln\\left( a_i \\right),\\quad a_i = \\frac{d(t_{i})}{d_0}.\n",
       "$$\n",
       "\n",
       "## Performance Notes\n",
       "\n",
       "This function uses a `parallel_integrator`. For loops over initial conditions and/or parameter values one should use the lower level methods that accept an integrator, and `reinit!` it to new initial conditions.\n",
       "\n",
       "See the \"advanced documentation\" for info on the integrator object and use `@which ...` to go to the source code for the low-level call signature.\n",
       "\n",
       "## References\n",
       "\n",
       "[1] : G. Benettin *et al.*, Phys. Rev. A **14**, pp 2338 (1976)\n"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "?lyapunov"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "Let's apply this to the example of the previous section, the Shinriki oscillator!\n",
    "\n",
    "*Reminder:* we found something that \"could\" be chaotic behavior for the parameter `R1 = 21.0`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-dimensional continuous dynamical system\n",
       " state:     [-2.0, 0.0, 0.2]\n",
       " e.o.m.:    DynamicalSystemsBase.Systems.shinriki_eom\n",
       " in-place?  false\n",
       " jacobian:  ForwardDiff\n"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shi = Systems.shinriki(;R1 = 21.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.02290509135307459"
      ],
      "text/plain": [
       "0.02290509135307459"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunov(shi, 1000.0, Ttr = 10.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Positive Lyapunov exponent!?!? That is definitely chaotic behavior, right?\n",
    "\n",
    "*Right?*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's increase accuracy of computation, as well as the transient time, to see whether an orbit actually enters a limit cycle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "-0.0004697804235984747"
      ],
      "text/plain": [
       "-0.0004697804235984747"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunov(shi, 2000.0, Ttr = 1000.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**surprise**\n",
    "\n",
    "Let's find out whats going on!\n",
    "\n",
    "To see why the lyapunov exponent was positive in one case and negative in another, we can produce a more detailed orbit diagram, around the \"critical\" value of `R = 21.0`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "101"
      ],
      "text/plain": [
       "101"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pvalues = linspace(20.9,21.1,101)\n",
    "i = 1\n",
    "plane = (2, 0.0)\n",
    "tf = 1000.0\n",
    "p_index = 1\n",
    "\n",
    "# use extremely long transient time:\n",
    "output = produce_orbitdiagram(shi, plane, i, p_index, pvalues; tfinal = tf,\n",
    "                              Ttr = 2000.0, direction = -1, printparams = false);\n",
    "length(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "using PyPlot\n",
    "figure(figsize=(6,4))\n",
    "for (j, p) in enumerate(pvalues)\n",
    "    plot(p .* ones(output[j]), output[j], lw = 0,\n",
    "    marker = \"o\", ms = 0.2, color = \"black\")\n",
    "end\n",
    "plot([21, 21], [-2.1, 0.1], color = \"red\", alpha = 0.55)\n",
    "xlabel(\"\\$R_1\\$\"); ylabel(\"\\$V_1\\$\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total: 758, unique: 29\n"
     ]
    }
   ],
   "source": [
    "# result of orbit diagram at R1 = 21.0\n",
    "values = output[51] \n",
    "\n",
    "# Amount of unique points\n",
    "un = unique(round.(output[51], 8))\n",
    "println(\"Total: $(length(output[51])), unique: $(length(un))\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `lyapunov` for discrete system\n",
    "\n",
    "* All functions that accept a `DynamicalSystem` work with *any* instance of `DynamicalSystem`, regardless of whether it is continuous, discrete, in-place, out-of-place or whatever.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.4200978623545757"
      ],
      "text/plain": [
       "0.4200978623545757"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the Henon map from the library of pre-defined systems:\n",
    "hen = Systems.henon()\n",
    "λ = lyapunov(hen, 10000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Lyapunov Spectrum \n",
    "\n",
    "Besides the maximum Laypunov exponent, the function `lyapunovs` (with `s` at the end) returns the entire Lyapunov spectrum (or as many exponents the user wants).\n",
    "\n",
    "\n",
    "\n",
    "Once again, because the function `lyapunovs` is not trivial, we will view the documentation string first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "search: \u001b[1ml\u001b[22m\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22m\u001b[1ms\u001b[22m \u001b[1ml\u001b[22m\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22m numerica\u001b[1ml\u001b[22ml\u001b[1my\u001b[22m\u001b[1ma\u001b[22m\u001b[1mp\u001b[22m\u001b[1mu\u001b[22m\u001b[1mn\u001b[22m\u001b[1mo\u001b[22m\u001b[1mv\u001b[22m\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "```\n",
       "lyapunovs(ds::DynamicalSystem, N [, k::Int | Q0]; kwargs...) -> λs\n",
       "```\n",
       "\n",
       "Calculate the spectrum of Lyapunov exponents [1] of `ds` by applying a QR-decomposition on the parallelepiped matrix `N` times. Return the spectrum sorted from maximum to minimum.\n",
       "\n",
       "The third argument `k` is optional, and dictates how many lyapunov exponents to calculate (defaults to `dimension(ds)`). Instead of passing an integer `k` you can pass a pre-initialized matrix `Q0` whose columns are initial deviation vectors (then `k = size(Q0)[2]`).\n",
       "\n",
       "## Keyword Arguments\n",
       "\n",
       "  * `Ttr = 0` : Extra \"transient\" time to evolve the system before application of the algorithm. Should be `Int` for discrete systems. Both the system and the deviation vectors are evolved for this time.\n",
       "  * `dt` : Time of individual evolutions between successive orthonormalization steps. Defaults to `1`. For continuous systems this is approximate.\n",
       "  * `diff_eq_kwargs = Dict()` : (only for continuous) Keyword arguments passed into the solvers of the `DifferentialEquations` package (see [`trajectory`](@ref) for more info).\n",
       "\n",
       "## Description\n",
       "\n",
       "The method we employ is \"H2\" of [2], originally stated in [3]. The deviation vectors defining a `D`-dimensional parallepiped in tangent space are evolved using the tangent dynamics of the system. A QR-decomposition at each step yields the local growth rate for each dimension of the parallepiped. The growth rates are then averaged over `N` successive steps, yielding the lyapunov exponent spectrum (at each step the parallepiped is re-normalized).\n",
       "\n",
       "## Performance Notes\n",
       "\n",
       "This function uses a [`tangent_integrator`](@ref). For loops over initial conditions and/or parameter values one should use the lower level methods that accept an integrator, and `reinit!` it to new initial conditions.\n",
       "\n",
       "See the \"advanced documentation\" for info on the integrator object and use `@which ...` to go to the source code for the low-level call signature.\n",
       "\n",
       "## References\n",
       "\n",
       "[1] : A. M. Lyapunov, *The General Problem of the Stability of Motion*, Taylor & Francis (1992)\n",
       "\n",
       "[2] : K. Geist *et al.*, Progr. Theor. Phys. **83**, pp 875 (1990)\n",
       "\n",
       "[3] : G. Benettin *et al.*, Meccanica **15**, pp 9-20 & 21-30 (1980)\n"
      ],
      "text/plain": [
       "```\n",
       "lyapunovs(ds::DynamicalSystem, N [, k::Int | Q0]; kwargs...) -> λs\n",
       "```\n",
       "\n",
       "Calculate the spectrum of Lyapunov exponents [1] of `ds` by applying a QR-decomposition on the parallelepiped matrix `N` times. Return the spectrum sorted from maximum to minimum.\n",
       "\n",
       "The third argument `k` is optional, and dictates how many lyapunov exponents to calculate (defaults to `dimension(ds)`). Instead of passing an integer `k` you can pass a pre-initialized matrix `Q0` whose columns are initial deviation vectors (then `k = size(Q0)[2]`).\n",
       "\n",
       "## Keyword Arguments\n",
       "\n",
       "  * `Ttr = 0` : Extra \"transient\" time to evolve the system before application of the algorithm. Should be `Int` for discrete systems. Both the system and the deviation vectors are evolved for this time.\n",
       "  * `dt` : Time of individual evolutions between successive orthonormalization steps. Defaults to `1`. For continuous systems this is approximate.\n",
       "  * `diff_eq_kwargs = Dict()` : (only for continuous) Keyword arguments passed into the solvers of the `DifferentialEquations` package (see [`trajectory`](@ref) for more info).\n",
       "\n",
       "## Description\n",
       "\n",
       "The method we employ is \"H2\" of [2], originally stated in [3]. The deviation vectors defining a `D`-dimensional parallepiped in tangent space are evolved using the tangent dynamics of the system. A QR-decomposition at each step yields the local growth rate for each dimension of the parallepiped. The growth rates are then averaged over `N` successive steps, yielding the lyapunov exponent spectrum (at each step the parallepiped is re-normalized).\n",
       "\n",
       "## Performance Notes\n",
       "\n",
       "This function uses a [`tangent_integrator`](@ref). For loops over initial conditions and/or parameter values one should use the lower level methods that accept an integrator, and `reinit!` it to new initial conditions.\n",
       "\n",
       "See the \"advanced documentation\" for info on the integrator object and use `@which ...` to go to the source code for the low-level call signature.\n",
       "\n",
       "## References\n",
       "\n",
       "[1] : A. M. Lyapunov, *The General Problem of the Stability of Motion*, Taylor & Francis (1992)\n",
       "\n",
       "[2] : K. Geist *et al.*, Progr. Theor. Phys. **83**, pp 875 (1990)\n",
       "\n",
       "[3] : G. Benettin *et al.*, Meccanica **15**, pp 9-20 & 21-30 (1980)\n"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "?lyapunovs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lyapunovs for discrete systems\n",
    "\n",
    "In our first example of calling `lyapunovs`, let's pass a discrete system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-element Array{Float64,1}:\n",
       "  0.422253\n",
       "  0.358264\n",
       " -3.27456 "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "towel = Systems.towel()\n",
    "lyapunovs(towel, 2000; Ttr = 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we're choosing to compute only the first two exponents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2-element Array{Float64,1}:\n",
       " 0.422253\n",
       " 0.358264"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunovs(towel, 2000, 2; Ttr = 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you only want the first exponent (maximum), use the `lyapunov` function instead"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.4222043259222616"
      ],
      "text/plain": [
       "0.4222043259222616"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunov(towel, 2000; Ttr = 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How much time does this take?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  290.560 μs (126 allocations: 9.14 KiB)\n"
     ]
    }
   ],
   "source": [
    "using BenchmarkTools\n",
    "@btime lyapunovs($towel, 2000; Ttr = 200);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  144.213 μs (54 allocations: 3.91 KiB)\n"
     ]
    }
   ],
   "source": [
    "@btime lyapunov($towel, 2000; Ttr = 200);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lyapunov exponents for continuous systems \n",
    "\n",
    "Next, let's initialize the Lorenz system with random initial condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-dimensional continuous dynamical system\n",
       " state:     [0.0, 10.0, 0.0]\n",
       " e.o.m.:    DynamicalSystemsBase.Systems.loop\n",
       " in-place?  false\n",
       " jacobian:  DynamicalSystemsBase.Systems.loop_jac\n"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lor = Systems.lorenz()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll compute the Lyapunov spectrum with specified initial parallepiped matrix `Q0`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-element Array{Float64,1}:\n",
       "   0.897369  \n",
       "   0.00146658\n",
       " -14.5655    "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q0 = eye(3)\n",
    "lyapunovs(lor, 2000, Q0; Ttr = 10.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we find that results \"converge\" already with 2000 iterations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-element Array{Float64,1}:\n",
       "   0.897872  \n",
       "   0.00073758\n",
       " -14.5653    "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunovs(lor, 3000, Q0; Ttr = 10.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Even the continuous systems are quite performant (note that compilation takes a **lot** of time):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  151.869 ms (68106 allocations: 1.07 MiB)\n"
     ]
    }
   ],
   "source": [
    "@btime lyapunovs($lor, 2000, $Q0; Ttr = 10.0);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* The above integration is done with a 9th order solver and tolerances of `1e-9`. But you can get away with lower tolerances.\n",
    "\n",
    "Let's load in `OrdinaryDiffEq` and specify keyword arguments for the integrators of DifferentialEquations.jl."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dict{Symbol,Any} with 3 entries:\n",
       "  :solver => OrdinaryDiffEq.Tsit5()\n",
       "  :reltol => 1.0e-6\n",
       "  :abstol => 1.0e-6"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using OrdinaryDiffEq\n",
    " \n",
    "dek = Dict(:solver => Tsit5(), :abstol => 1e-6, :reltol => 1e-6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now we can call `lyapunovs` with the keyword `diff_eq_kwargs`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3-element Array{Float64,1}:\n",
       "   0.898635   \n",
       "   0.000687253\n",
       " -14.5659     "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyapunovs(lor, 2000, Q0; Ttr = 10.0, diff_eq_kwargs = dek)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  87.989 ms (89950 allocations: 1.39 MiB)\n"
     ]
    }
   ],
   "source": [
    "@btime lyapunovs($lor, 2000.0, $Q0; Ttr = 10.0, diff_eq_kwargs = $dek);"
   ]
  }
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